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| Criterion |  Product Discovery Opportunity Solution Tree |  Knowledge Modeling IBIS |  Knowledge Modeling Concept Mapping |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-2 h Setup, laufend | 1-3 h | 1-2 h | 30-60 min |
Participantsdifferent | 2-6 | 2-8 | 1-8 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Issue Map, Positions, Argument Notes | Concept Map, Relationship Labels, Knowledge Gaps | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | RationaleKnowledgeDecision | KnowledgeConceptsMappingSensemaking | ExperimentsValidationDiscoveryHypothesis |